引用次数
引用: 798
H-指数: 16
I10-指数 : 18
出版物: 47
SIMT SCALE 2009-Modality Annotation Guidelines
K Baker , M Bloodgood , M Diab , B Dorr
Technical Report. Johns Hopkins, Baltimore
2
2010
Electric Switching of the Charge-Density-Wave and Normal Metallic Phases in Tantalum Disulfide Thin-Film Devices
A Geremew , S Rumyantsev , F Kargar , B Debnath
arXiv preprint arXiv:1903.06050
1
2019
Analysis of Stopping Active Learning based on Stabilizing Predictions
John Grothendieck , Michael Bloodgood
conference on computational natural language learning 10 -19
24
2013
Filtering Tweets for Social Unrest
Michael Bloodgood , Kevin Wonus , Alan Mishler , Wendy Chambers
ieee international conference semantic computing 17 -23
10
2017
Support Vector Machine Active Learning Algorithms with Query-by-Committee Versus Closest-to-Hyperplane Selection
Michael Bloodgood
ieee international conference semantic computing 148 -155
26
2018
Stopping Active Learning Based on Predicted Change of F Measure for Text Classification
Michael Bloodgood , Michael Altschuler
ieee international conference semantic computing 47 -54
10
2019
Data Cleaning for XML Electronic Dictionaries via Statistical Anomaly Detection
Michael Bloodgood , Benjamin Strauss
2016 IEEE Tenth International Conference on Semantic Computing (ICSC) 79 -86
2
2016
Impact of Batch Size on Stopping Active Learning for Text Classification
Garrett Beatty , Ethan Kochis , Michael Bloodgood
2018 IEEE 12th International Conference on Semantic Computing (ICSC) 306 -307
8
2018
Early Forecasting of Text Classification Accuracy and F-Measure with Active Learning
Thomas Orth , Michael Bloodgood
ieee international conference semantic computing 77 -84
2
2020
Translation memory retrieval methods
Michael Bloodgood , Benjamin Strauss
conference of the european chapter of the association for computational linguistics 202 -210
17
2014
Modality and negation in simt use of modality and negation in semantically-informed syntactic mt
Kathryn Baker , Michael Bloodgood , Bonnie J. Dorr , Chris Callison-Burch
Computational Linguistics 38 ( 2) 411 -438
45
2012
The Use of Unlabeled Data Versus Labeled Data for Stopping Active Learning for Text Classification
Garrett Beatty , Ethan Kochis , Michael Bloodgood
ieee international conference semantic computing 287 -294
7
2019
Tissue homogeneity requires inhibition of unequal gene silencing during development
Hai H. Le , Monika Looney , Benjamin Strauss , Michael Bloodgood
Journal of Cell Biology 214 ( 3) 319 -331
7
2016
Rapid Adaptation of POS Tagging for Domain Specific Uses
John E Miller , Michael Bloodgood , Manabu Torii , K Vijay-Shanker
arXiv preprint arXiv:1411.0007
2014
Semantically informed machine translation (SIMT)
Kathy Baker , Steven Bethard , Michael Bloodgood , Ralf Brown
SCALE summer workshop final report, Human Language Technology Center Of Excellence
12
2009
A modality lexicon and its use in automatic tagging
Kathryn Baker , Michael Bloodgood , Bonnie J Dorr , Nathaniel W Filardo
arXiv preprint arXiv:1410.4868
70
2014
Statistical modality tagging from rule-based annotations and crowdsourcing
Vinodkumar Prabhakaran , Michael Bloodgood , Mona Diab , Bonnie Dorr
arXiv preprint arXiv:1503.01190
33
2015
Semantically-informed syntactic machine translation: A tree-grafting approach
Kathryn Baker , Michael Bloodgood , Chris Callison-Burch , Bonnie J Dorr
arXiv preprint arXiv:1409.7085
12
2014
General Co-Chairs
Brad Lehman , Fred C Lee , Jih-Sheng Jason Lai , Frede Blaabjerg
ICSC 2016 Program Committee
Agnese Augello , Pierpaolo Basile , Ivan Bedini , Michael Bloodgood